**Preface to "Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids"**

This Special Issue addresses the latest results on various aspects of artificial intelligent techniques, such as expert systems, fuzzy logic, and artificial neural networks in important areas of advanced high-tech electronics, such as applications in power electronics, motor drives, renewable energy systems and smart grids. There is a multidisciplinary relevant to all of those. Through this framework, based on fuzzy logic, an integrated hierarchical data envelopment analysis for the optimal geographical location of solar plants is proposed, a distributed multi-source information is obtained for equipment condition assessment in the power grid, and control methods to regulate the demand of thermostatically controlled loads and wind turbine systems are also proposed to provide frequency support for a smart grid. In addition, using deep learning algorithm transient voltage stability analysis to optimize the reactive power compensation and detect non-technical losses is proposed and evaluated. Finally, hourly electricity load demand, multiple electricity consumption forecasting and non-intrusive load disaggregation methodology are also presented in this Special Issue.

> **Marcelo Godoy Sim ˜oes, Helmo Kelis Morales Paredes** *Editors*
